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Zhong-Zhi Bai

Researcher at Chinese Academy of Sciences

Publications -  165
Citations -  10712

Zhong-Zhi Bai is an academic researcher from Chinese Academy of Sciences. The author has contributed to research in topics: Iterative method & System of linear equations. The author has an hindex of 49, co-authored 160 publications receiving 9600 citations. Previous affiliations of Zhong-Zhi Bai include Fudan University & Southern Federal University.

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On sinc discretization and banded preconditioning for linear third‐order ordinary differential equations

TL;DR: This paper solves the boundary value problems of third‐order ordinary differential equations by sinc discretization and proves that the discrete solutions converge to the true solutions of the ODEs exponentially.
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On order‐reducible sinc discretizations and block‐diagonal preconditioning methods for linear third‐order ordinary differential equations

TL;DR: It is proved that the discrete solution resulting from the linear system converges exponentially to the true solution of the order‐reduced system of ODEs, and the eigenvalues of certain approximation to the preconditioned matrix are uniformly bounded within a rectangle on the complex plane independent of the size of the discretized linear system.
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Modified incomplete orthogonal factorization methods using Givens rotations

TL;DR: These modified incomplete Givens orthogonalization (MIGO) methods can preserve certain useful properties of the original matrix, and numerical results are used to verify the stability, the accuracy, and the efficiency of the MIGO methods employed to precondition the Krylov subspace iteration methods such as GMRES.
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Convergence analysis of the two-stage¶multisplitting method

TL;DR: In this article, the convergence rate of the two-stage multisplitting method with one inner iteration is shown to be either faster or slower than that with many inner iterations.
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On local quadratic convergence of inexact simplified Jacobi–Davidson method for interior eigenpairs of Hermitian eigenproblems ☆

TL;DR: This work proves local quadratic convergence of the inexact simplified Jacobi–Davidson method when the involved relaxed correction equation is solved by a standard Krylov subspace iteration, which particularly leads to local cubic convergence when the relaxed correction equations is solved to a prescribed precision proportional to the norm of the current residual.